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Geochemical data for rock, sediment, soil, and mineral samples, United States and territories, 1962 to 2023 Geochemical data for rock, sediment, soil, and mineral samples, United States and territories, 1962 to 2023
The data set contains geochemical data for 1,524,014 rock, sediment, soil, and mineral samples collected by the U.S. Geological Survey within US state, territory or Economic Exclusive Zone (EEZ) boundaries, and analyzed from 1962 through 2023 either in the analytical laboratories of the Geologic Discipline of the USGS or by contract with commercial analytical laboratories. These data...
Historical (1900s-1940s) and present-day (2003 – 2023) spring Chinook salmon (Oncorhynchus tshawytscha) spawning distribution in the Willamette River Basin, Oregon Historical (1900s-1940s) and present-day (2003 – 2023) spring Chinook salmon (Oncorhynchus tshawytscha) spawning distribution in the Willamette River Basin, Oregon
Spawning distribution maps for Upper Willamette River (UWR) spring Chinook salmon were created for the historical period (approximately 1910-1940), and for the present-day period (2003-2023). These maps were created as a tool to visualize generalized, reach-scale patterns of spawning distribution before and after the construction of high-head dams and other large-scale anthropogenic...
PIT tagging and detection of Chinook salmon (Oncorhynchus tshawytscha) in cold water refuges of the Klamath River PIT tagging and detection of Chinook salmon (Oncorhynchus tshawytscha) in cold water refuges of the Klamath River
We conducted a pilot study to evaluate the extent of cold water refuge use by juvenile outmigrating fall-run Chinook salmon (Oncorhynchus tshawytscha) in relation to managed water flows in the Klamath River. Juvenile fall-run Chinook salmon were captured and implanted with passive integrated transponder (PIT) tags and subsequently detected by submersible antennas that were strategically...
Model output and code for a long short-term memory model forecasting streamflow drought across the Conterminous United States by focusing on percentiles below 50 percent Model output and code for a long short-term memory model forecasting streamflow drought across the Conterminous United States by focusing on percentiles below 50 percent
Machine learning (ML) models were used to forecast streamflow drought from 1 to 13 weeks into the future at more than 3,000 streamgage locations across the conterminous United States. Long short-term memory [LSTM] neural network models were used to predict weekly streamflow percentiles with independent models for each forecast horizon. In this data release we specifically include an LSTM...
Aquaculture and irrigation water-use model (AIWUM) version 1.1 estimates and related datasets for the Mississippi Alluvial Plain, 2020–2023 Aquaculture and irrigation water-use model (AIWUM) version 1.1 estimates and related datasets for the Mississippi Alluvial Plain, 2020–2023
This data release contains monthly and annual water-use estimates from the Aquaculture and Irrigation Water-Use Model (AIWUM) version 1.1 for the Mississippi Alluvial Plain (MAP) from 2020 to 2023. Aquaculture and irrigation estimates contained in this data release are representative of groundwater withdrawal for six different categories: aquaculture, cotton, corn, rice, soybeans, and...
Estimates of plant water use needs for Tres Rios wetland and riparian corridor based on Landsat greenness and evapotranspiration time series from 2013-2024 Estimates of plant water use needs for Tres Rios wetland and riparian corridor based on Landsat greenness and evapotranspiration time series from 2013-2024
These spatial and tabular data were compiled to have a decade-long record of the water usage in the riparian corridor and the wetlands near Phoenix, Arizona called the Tres Rios area to observe the effect of riparian and wetland health as characterized by vegetation greenness and its water use or evapotranspiration. The objective of our study was to quantify evapotranspiration (in...